Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
14041
Single Precision Score
14016
Half Precision Score
34373
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | avandeputte |
| Upload Date | December 10 2025 09:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP06 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7488
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7556
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18628
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9539
154.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8897
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26385
427.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27158
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27887
32.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
110446
129.3 IPS |
|
|
Object Detection (SP)
|
100% |
8735
692.9 IPS |
|
|
Object Detection (HP)
|
100% |
8706
690.5 IPS |
|
|
Object Detection (Q)
|
88% |
20368
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
20062
238.4 IPS |
|
|
Face Detection (HP)
|
100% |
19862
236.0 IPS |
|
|
Face Detection (Q)
|
100% |
57202
679.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23486
180.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23603
181.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
63194
491.8 IPS |
|
|
Style Transfer (SP)
|
100% |
64935
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
63975
82.2 IPS |
|
|
Style Transfer (Q)
|
98% |
255375
329.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13240
488.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13626
503.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36179
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4919
6.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4973
6.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5994
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
8826
152.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8822
152.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10404
179.2 IPS |
